CN107595277A - A kind of cardioelectric monitor system and monitoring method with motion identification and positioning function - Google Patents
A kind of cardioelectric monitor system and monitoring method with motion identification and positioning function Download PDFInfo
- Publication number
- CN107595277A CN107595277A CN201710783258.7A CN201710783258A CN107595277A CN 107595277 A CN107595277 A CN 107595277A CN 201710783258 A CN201710783258 A CN 201710783258A CN 107595277 A CN107595277 A CN 107595277A
- Authority
- CN
- China
- Prior art keywords
- module
- motion
- information
- electrocardiosignal
- cardioelectric monitor
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Landscapes
- Measurement And Recording Of Electrical Phenomena And Electrical Characteristics Of The Living Body (AREA)
Abstract
The present invention relates to a kind of cardioelectric monitor system and monitoring method with motion identification and positioning function, Holter waistband is worn on human body waist and belly, for electrocardiosignal, motion and the positional information for gathering, storing, send human body；Cardioelectric monitor platform includes mobile phone A pp cardioelectric monitors platform and PC ends cardioelectric monitor platform；Wherein, mobile phone A pp cardioelectric monitors platform receives electrocardiosignal, motion and the positional information sent from Holter waistband, and the information of reception is sent to cloud server；PC ends cardioelectric monitor platform obtains electrocardiosignal, motion and positional information from the database of cloud server, by to electrocardiosignal denoising and showing, motion identification is carried out to movable information by motion recognition algorithms, contacted by being established with Baidu map API, to positional information real-time display.The present invention is advantageous to the monitoring under user's daily exercise state, and more portable, and the real-time remote monitoring of electrocardiosignal can be achieved.
Description
Technical field
The present invention relates to Signal and Information Processing technical field, and in particular to a kind of to have motion identification and positioning function
Cardioelectric monitor system and monitoring method.
Background technology
In recent years, angiocardiopathy has become the number one killer of the mankind, the life and health of serious threat to the mankind, and has
There is the features such as sudden and latency.According to scientific investigations showed that, the patient with angiocardiopathy, its morbidity preceding a few minutes
Within clock, anomalous variation occurs in ecg wave form, therefore human ecg signal monitors the preventing and treating to angiocardiopathy and examined in real time
It is disconnected significant.
In design studies on cardioelectric monitor system, in the case where normal acquisition human ecg signal can be ensured,
Denoising to electrocardiosignal, which seems, to be even more important.Electrocardiosignal is a kind of faint bioelectrical signals, has weak output signal, high resistant
The features such as anti-, wherein a variety of noises are contaminated with, such as myoelectricity interference noise, motion artifacts, electrode contact noise, 50Hz industrial frequency noises
Deng.Routine electrocardiogram machine and Holter can be realized.
But conventional electrocardiograph volume is big, portability is poor, is only suitable for being monitored the electrocardiosignal of user in hospital.
In traditional Holter cardioelectric monitor, when user is kept in motion down, ecg wave form meeting under the interference of motion artifacts
Become to be difficult to recognize, doctor can only judge that this section of ecg wave form does not possess medical reference value, judge this by clinical experience
When user may motion or it is static.This also brings inconvenience to the monitoring and diagnosis of doctor.And Holter can not be realized
Long-range ECG Data Transmission Based, it is unfavorable for the real-time, interactive of doctor and user.
In consideration of it, it is necessary to propose a kind of to facilitate user and doctor's real-time, interactive and monitoring user's daily exercise and healthy shape
The system and equipment of condition.
The content of the invention
It is an object of the invention to provide a kind of cardioelectric monitor system and monitoring side with motion identification and positioning function
Method.Using human ecg signal monitoring system as trunk in the present invention, on the basis of monitoring human body electrocardio waveform signal in real time, together
When acquire the information such as the Big Dipper longitude and latitude positional information of user, altitude information, real time information, the currently monitored satellite number, so as to
In the case where emergency situations occurs in user, the very first time finds the position of user and is positioned and rescued.At the same time, originally
System also collects the movable information of user using three axle digital acceleration sensors.
The technical solution adopted by the present invention：The invention provides a kind of cardioelectric monitor with motion identification and positioning function
System, the system are made up of Holter waistband, cloud server and cardioelectric monitor platform, and Holter is girdled the waist
Band is worn on human body waist and belly, for electrocardiosignal, motion and the positional information for gathering, storing, send human body；
Cardioelectric monitor platform includes mobile phone A pp cardioelectric monitors platform and PC ends cardioelectric monitor platform；Wherein, the mobile phone A pp hearts
Pyroelectric monitor platform receives electrocardiosignal, motion and the positional information sent from Holter waistband, and by reception
Information is sent to cloud server；
PC ends cardioelectric monitor platform obtains electrocardiosignal, motion and positional information from the database of cloud server, wherein,
By to electrocardiosignal denoising and showing, motion identification is carried out to movable information by motion recognition algorithms, by with hundred
Spend map API and establish contact, to positional information real-time display.
Further, the Holter waistband includes electrocardio conditioning module, the real-time locating module of the Big Dipper, acceleration
Spend sensor assembly, SD card memory module, wireless blue tooth module and micro controller module；
Electrocardio conditioning module is connected by electrode slice with conducting wire gathers the electrocardiosignal of acquisition human body and by nursing one's health electricity
The information of acquisition is amplified on road and filtering process；The real-time locating module of the Big Dipper is used to obtain current positional information；Accelerate
Degree sensor assembly is used to obtain current movable information；
Micro controller module is used to gather in the real-time locating module of electrocardio conditioning module, the Big Dipper and acceleration sensor module
The information of acquisition, the information collected is handled and packed, and mobile phone A pp is sent information to by wireless blue tooth module
Cardioelectric monitor platform, and real-time display is carried out to ecg wave form in mobile phone A pp cardioelectric monitor platforms；Micro controller module simultaneously
After information is handled and packed, the information after processing is stored by SD card memory module.
Further, the micro controller module is STM32 main control chips.
Motion identification and the monitoring method of the cardioelectric monitor system of positioning function are utilized present invention also offers a kind of,
(1) two electrode slices, are attached to human body surface measurement position, by the defeated of two conducting wires being connected with electrode slice
Exit port is connected with the collection port of the electrocardio conditioning module in Holter waistband, and the electrocardiosignal of human body is entered
Row collection, the faint electrocardiosignal collected is amplified and filtered by modulate circuit；
(2) movable information of active user, is gathered using acceleration sensor module；Adopted using the real-time locating module of the Big Dipper
Collect the positional information of active user；
(3), micro controller module will collect electrocardiosignal, motion and positional information in step (1) and (2) and be handled
And packing, stored by SD card memory module, and sent all information to mobile phone A pp electrocardios by wireless blue tooth module
Monitoring platform；
(4), mobile phone A pp cardioelectric monitors platform is first soft to cell phone application after electrocardiosignal, motion and positional information is received
Part is initialized, and creates UI threads, now UI threads control the generation of three class events respectively, first, detecting the presence of button thing
Part trigger, if button event occur, then perform corresponding to button event；Interacted second, detecting the presence of bluetooth equipment,
If any interaction, the transmission of data is carried out, now ecg wave form figure is drawn with Graphics Control, it is soft to be shown in cell phone application
In part main interface；Third, after data are received, cloud server is sent data to；
(5), PC ends cardioelectric monitor platform is connected to the database of cloud server and reads data, first makes the heart received
Electric data eliminate myoelectricity interference by low pass filter and are the high-frequency noise of representative, then make the electrocardio number by low pass filter
According to a three rank high-pass filters are passed through, low cut-off frequency is arranged to 0.5Hz here, filters out baseline drift and direct current offset
The low-frequency noises such as potential, 50Hz bandreject filtering is carried out to the electrocardiogram (ECG) data by low pass and high-pass filtering, eliminate 50Hz
Industrial frequency noise, the waveform tracing of electrocardiogram (ECG) data after filtering is come out using waveform chart control, utilizes Mathematical Morphology method
Phase between R ripples is calculated, so as to calculate user's Current heart rate；
The movable information that PC ends cardioelectric monitor platform is gathered by motion recognition algorithms to acceleration sensor module is carried out
Motion identification；PC ends cardioelectric monitor platform is contacted by being established with Baidu map API, by the real-time locating module combination Baidu of the Big Dipper
Map has carried out real-time display to positional information.
Its advantage is the present invention compared with prior art：The Holter waistband of the present invention employs insertion
Formula development technique, ecg information, movable information and positional information are gathered and handled；Utilize Bluetooth wireless transmission technology
Send data to cell phone software, and the mesh that remotely monitors finally is realized using the interaction of software systems and cloud database
's；The software systems used in the present invention are designed and developed based on LabWindows and Android, and fortune is utilized in software systems
Dynamic recognizer to the motion state of user identify and show, has provided more accurately and reliably information for doctor, have
Monitoring beneficial to doctor judges, relatively reliable guarantee is provided for the health of user；Meanwhile the software system used in the present invention
Also the heart rate of user is calculated by Mathematical Morphology method in system, more added with being advantageous to doctor and user understands its own
Health status；The present invention processes by technique, a kind of wearable waistband is designed to, compared to traditional electrocardiograph phase
Than more compact portable, cost is cheap, easy to operate, versatile, is more applicable for follow-up optimization and exploitation；The present invention has
Beneficial to the monitoring under user's daily exercise state, and it is more portable；Experiments verify that the system can realize the reality of electrocardiosignal
When remote monitoring, the ecg wave form of collection has good medical reference value, can be the tele-medicine of Future Cardiovascular disease
Certain technical support is provided.
Brief description of the drawings
Fig. 1 is the test frame schematic diagram of cardioelectric monitor system in the present invention；
Fig. 2 is the message processing flow figure of mobile phone A pp cardioelectric monitor platforms in monitoring method of the present invention；
Fig. 3 is the message processing flow figure of PC ends cardioelectric monitor platform in monitoring method of the present invention.
Embodiment
Technical scheme is clearly and completely described below in conjunction with accompanying drawing, it is clear that described implementation
Example is part of the embodiment of the present invention, rather than whole embodiments.Based on the embodiment in the present invention, ordinary skill
The every other embodiment that personnel are obtained under the premise of creative work is not made, belongs to the scope of protection of the invention.
As shown in figure 1, the invention provides a kind of cardioelectric monitor system with motion identification and positioning function, the system
It is made up of Holter waistband 1, cloud server 2 and cardioelectric monitor platform, Holter waistband 1 is worn on
Human body waist and belly, for electrocardiosignal, motion and the positional information for gathering, storing, send human body；
Cardioelectric monitor platform includes mobile phone A pp cardioelectric monitors platform 3 and PC ends cardioelectric monitor platform 4；Wherein, mobile phone A pp
Cardioelectric monitor platform 3 receives electrocardiosignal, motion and the positional information sent from Holter waistband 1, and will connect
The information of receipts is sent to cloud server 2；
PC ends cardioelectric monitor platform 4 obtains electrocardiosignal, motion and positional information from the database of cloud server 2, its
In, by electrocardiosignal denoising and showing, motion identification is carried out to movable information by motion recognition algorithms, by with
Baidu map API establishes contact, to positional information real-time display.Monitored person and doctor is set to carry out closer friendship
Mutually.
The Holter waistband 1 includes electrocardio conditioning module 5, the real-time locating module 6 of the Big Dipper, acceleration sensing
Device module 7, SD card memory module 8, wireless blue tooth module 9 and micro controller module 10；Electrocardio conditioning module 5 passes through electrode slice 11
The collection that is connected with conducting wire 12 obtains the electrocardiosignal of human body and the information of acquisition is amplified and filtered by modulate circuit
Processing；The real-time locating module 6 of the Big Dipper is used to obtain current positional information；Acceleration sensor module 7 is current for obtaining
Movable information；Micro controller module 10 is used to gather the real-time locating module 6 of electrocardio conditioning module 5, the Big Dipper and acceleration transducer
The information obtained in module 7, the information collected is handled and packed, and sent information by wireless blue tooth module 9
To mobile phone A pp cardioelectric monitors platform 3, and real-time display is carried out to ecg wave form in mobile phone A pp cardioelectric monitors platform 3；Simultaneously
Micro controller module 10 is deposited after information is handled and packed, by the information after processing by SD card memory module 8
Storage.The micro controller module 10 is STM32 main control chips.
It is a kind of using motion identification and the monitoring method of the cardioelectric monitor system of positioning function such as Fig. 1, (1), by two electricity
Pole piece 11 is attached to human body surface measurement position, by the output port for two conducting wires 12 being connected with electrode slice 11 and the dynamic heart
The collection port connection of electrocardio conditioning module 5 in pyroelectric monitor waistband 1, and the electrocardiosignal of human body is acquired, it will adopt
The faint electrocardiosignal collected is amplified and filtered by modulate circuit；
(2) movable information of active user, is gathered using acceleration sensor module 7；Utilize the real-time locating module 6 of the Big Dipper
Gather the positional information of active user；
(3), micro controller module 10 will be collected at electrocardiosignal, motion and positional information in step (1) and (2)
Reason and packing, are stored, and sent all information to mobile phone A pp by wireless blue tooth module 9 by SD card memory module 8
Cardioelectric monitor platform 3；
(4), such as Fig. 2, mobile phone A pp cardioelectric monitors platform 3 is after electrocardiosignal, motion and positional information is received, first opponent
Machine APP softwares are initialized, and create UI threads, and now UI threads control the generation of three class events respectively, first, detecting the presence of
Button event trigger, if button event occur, then perform corresponding to button event；Enter second, detecting the presence of bluetooth equipment
Row interaction, if any interaction, carries out the transmission of data, now ecg wave form figure is drawn with Graphics Control, is shown in hand
In machine APP software main interfaces；Third, after data are received, cloud server 2 is sent data to；
(5), such as Fig. 3, PC end cardioelectric monitor platform 4 is connected to the database of cloud server 2 and reads data, first makes to connect
The electrocardiogram (ECG) data received eliminates myoelectricity interference by low pass filter and is the high-frequency noise of representative, then makes by low pass filter
Electrocardiogram (ECG) data pass through a three rank high-pass filters, low cut-off frequency is arranged to 0.5Hz here, filter out baseline drift and
The low-frequency noises such as direct current offset potential, 50Hz bandreject filtering is carried out to the electrocardiogram (ECG) data by low pass and high-pass filtering,
50Hz industrial frequency noise is eliminated, the waveform tracing of electrocardiogram (ECG) data after filtering is come out using waveform chart control, utilizes number
Learn waveforms method to calculate the phase between R ripples, so as to calculate user's Current heart rate；PC ends cardioelectric monitor platform 4 passes through
The movable information that motion recognition algorithms gather to acceleration sensor module 7 carries out motion identification；PC ends cardioelectric monitor platform 4 is logical
Cross to establish with Baidu map API and contact, the real-time locating module 6 of the Big Dipper has been carried out showing in real time with reference to Baidu map to positional information
Show.
Finally it should be noted that：The above embodiments are merely illustrative of the technical solutions of the present invention, rather than its limitations；Although
The present invention is described in detail with reference to foregoing embodiments, it will be understood by those within the art that：It is still
Technical scheme described in foregoing embodiments can be modified, either which part or all technical characteristic are carried out
Equivalent substitution；And these modifications or replacement, the essence of appropriate technical solution is departed from various embodiments of the present invention technical side
The scope of case.
Claims (4)
1. a kind of cardioelectric monitor system with motion identification and positioning function, the system is by Holter waistband, cloud
Hold server and cardioelectric monitor platform composition, it is characterised in that：Holter waistband is worn on human body waist and belly, is used for
Collection, storage, electrocardiosignal, motion and the positional information for sending human body；
Cardioelectric monitor platform includes mobile phone A pp cardioelectric monitors platform and PC ends cardioelectric monitor platform；Wherein, mobile phone A pp electrocardios are supervised
Survey platform and receive electrocardiosignal, motion and the positional information sent from Holter waistband, and by the information of reception
Send to cloud server；
PC ends cardioelectric monitor platform obtains electrocardiosignal, motion and positional information from the database of cloud server, wherein, pass through
To electrocardiosignal denoising and show, motion identification is carried out to movable information by motion recognition algorithms, by with Baidu
Scheme API and establish contact, to positional information real-time display.
A kind of 2. cardioelectric monitor system with motion identification and positioning function according to claim 1, it is characterised in that
The Holter waistband includes electrocardio conditioning module, the real-time locating module of the Big Dipper, acceleration sensor module, SD card
Memory module, wireless blue tooth module and micro controller module；
Electrocardio conditioning module is connected by electrode slice with conducting wire gathers the electrocardiosignal of acquisition human body and by modulate circuit pair
The information of acquisition is amplified and filtering process；The real-time locating module of the Big Dipper is used to obtain current positional information；Acceleration passes
Sensor module is used to obtain current movable information；
Micro controller module is used to gather to obtain in the real-time locating module of electrocardio conditioning module, the Big Dipper and acceleration sensor module
Information, the information collected is handled and packed, and mobile phone A pp electrocardios are sent information to by wireless blue tooth module
Monitoring platform, and real-time display is carried out to ecg wave form in mobile phone A pp cardioelectric monitor platforms；Micro controller module is right simultaneously
After information is handled and packed, the information after processing is stored by SD card memory module.
A kind of 3. cardioelectric monitor system with motion identification and positioning function according to claim 2, it is characterised in that
The micro controller module is STM32 main control chips.
A kind of a kind of 4. monitoring side with the cardioelectric monitor system for moving identification and positioning function using described in claim 2
Method, it is characterised in that：
(1) two electrode slices, are attached to human body surface measurement position, by the output end for two conducting wires being connected with electrode slice
Mouth is connected with the collection port of the electrocardio conditioning module in Holter waistband, and the electrocardiosignal of human body is adopted
Collection, the faint electrocardiosignal collected is amplified and filtered by modulate circuit；
(2) movable information of active user, is gathered using acceleration sensor module；Worked as using the real-time locating module collection of the Big Dipper
The positional information of preceding user；
(3), micro controller module will collect electrocardiosignal, motion and positional information in step (1) and (2) and be handled and be beaten
Bag, is stored, and sent all information to mobile phone A pp cardioelectric monitors by wireless blue tooth module by SD card memory module
Platform；
(4), mobile phone A pp cardioelectric monitors platform first enters after electrocardiosignal, motion and positional information is received to cell phone application software
Row initialization, creates UI threads, and now UI threads control the generation of three class events respectively, are touched first, detecting the presence of button event
Hair, if button event occur, then perform corresponding to button event；Interacted second, detecting the presence of bluetooth equipment, if any
Interaction, carries out the transmission of data, now ecg wave form figure is drawn with Graphics Control, be shown in cell phone application software master
On interface；Third, after data are received, cloud server is sent data to；
(5), PC ends cardioelectric monitor platform is connected to the database of cloud server and reads data, first makes the electrocardio number received
It is the high-frequency noise of representative according to myoelectricity interference is eliminated by low pass filter, then makes the electrocardiogram (ECG) data warp by low pass filter
A three rank high-pass filters are crossed, low cut-off frequency is arranged to 0.5Hz here, filter out baseline drift and direct current offset potential
Etc. low-frequency noise, 50Hz bandreject filtering is carried out to the electrocardiogram (ECG) data by low pass and high-pass filtering, eliminates 50Hz work
Frequency noise, the waveform tracing of electrocardiogram (ECG) data after filtering is come out using waveform chart control, using Mathematical Morphology method to R ripples
Between between the phase calculated, so as to calculate user's Current heart rate；
The movable information that PC ends cardioelectric monitor platform is gathered by motion recognition algorithms to acceleration sensor module moves
Identification；PC ends cardioelectric monitor platform is contacted by being established with Baidu map API, by the real-time locating module combination Baidu map of the Big Dipper
Real-time display has been carried out to positional information.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710783258.7A CN107595277A (en) | 2017-09-03 | 2017-09-03 | A kind of cardioelectric monitor system and monitoring method with motion identification and positioning function |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710783258.7A CN107595277A (en) | 2017-09-03 | 2017-09-03 | A kind of cardioelectric monitor system and monitoring method with motion identification and positioning function |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN107595277A true CN107595277A (en) | 2018-01-19 |
Family
ID=61057252
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201710783258.7A Pending CN107595277A (en) | 2017-09-03 | 2017-09-03 | A kind of cardioelectric monitor system and monitoring method with motion identification and positioning function |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN107595277A (en) |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108553085A (en) * | 2018-03-14 | 2018-09-21 | 深圳市小信号科技有限公司 | A kind of device and method of patient monitor data transmission |
| CN110850782A (en) * | 2019-11-29 | 2020-02-28 | 华侨大学 | Security personnel management system and method based on Internet of things and electrocardio monitoring technology |
| CN113995418A (en) * | 2021-11-03 | 2022-02-01 | 北京科技大学 | Real-time electrocardiogram monitoring method and system |
| CN114795235A (en) * | 2022-04-14 | 2022-07-29 | 中国人民解放军陆军第八十二集团军医院 | Single-lead electrocardiogram monitoring method and system based on morphological contour algorithm |
Citations (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1507833A (en) * | 2002-12-16 | 2004-06-30 | 中国人民解放军空军航空医学研究所 | Integrated dynamic physiological parameter detecting and recording method and apparatus |
-
2017
- 2017-09-03 CN CN201710783258.7A patent/CN107595277A/en active Pending
Patent Citations (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1507833A (en) * | 2002-12-16 | 2004-06-30 | 中国人民解放军空军航空医学研究所 | Integrated dynamic physiological parameter detecting and recording method and apparatus |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108553085A (en) * | 2018-03-14 | 2018-09-21 | 深圳市小信号科技有限公司 | A kind of device and method of patient monitor data transmission |
| CN110850782A (en) * | 2019-11-29 | 2020-02-28 | 华侨大学 | Security personnel management system and method based on Internet of things and electrocardio monitoring technology |
| CN113995418A (en) * | 2021-11-03 | 2022-02-01 | 北京科技大学 | Real-time electrocardiogram monitoring method and system |
| CN114795235A (en) * | 2022-04-14 | 2022-07-29 | 中国人民解放军陆军第八十二集团军医院 | Single-lead electrocardiogram monitoring method and system based on morphological contour algorithm |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN103654774B (en) | Wearable movable bracelet | |
| CN102917661B (en) | Based on the health index monitored for health of multivariate residual error | |
| CN107595277A (en) | A kind of cardioelectric monitor system and monitoring method with motion identification and positioning function | |
| CN104605841A (en) | Wearable electrocardiosignal monitoring device and method | |
| CN105125207A (en) | Mobile electrocardiogram monitoring terminal | |
| Dilraj et al. | A low cost remote cardiac monitoring framework for rural regions | |
| CN103908241B (en) | Sleep and respiration detection method, device | |
| CN104799849A (en) | Portable sleep apnea syndrome monitoring method and device | |
| KR20160107390A (en) | Apparatus for measuring bio-signal | |
| CN112137601A (en) | Signal processing method, signal processing device, vehicle and storage medium | |
| CN103815898A (en) | Garment type 12-Lead ECG (electrocardiogram) remote monitoring equipment | |
| CN209932728U (en) | Portable electrocardio monitoring clothing | |
| CN105125202A (en) | Electrocardiogram monitoring system based on low-noise amplifier | |
| Belgacem et al. | Bluetooth portable device and Matlab-based GUI for ECG signal acquisition and analisys | |
| CN103222864B (en) | Self-adaption electrocardiograph (ECG) detection method and monitoring system thereof | |
| Che et al. | Portable heart rate detector based on photoplethysmography with android programmable devices | |
| Gao et al. | Cardiosentinal: A 24-hour heart care and monitoring system | |
| CN104825153A (en) | Remote wearable synchronous detection system for multiplex medical electric signals based on cloud computing | |
| CN205268157U (en) | Non -contact heart electric sensor and wearable multichannel electrocardio sampling underwear thereof | |
| CN204636367U (en) | A kind of noncontact device for detecting respiratory | |
| De Vito et al. | A prototype of a wearable health device for mobile telemonitoring applications | |
| CN209285510U (en) | A kind of miniature physiological situation monitoring device | |
| CN105249956A (en) | Electrocardiogram monitoring system based on amplified circuit | |
| CN107374642A (en) | A kind of miniature physiological situation monitoring device and position monitoring method | |
| CN209826717U (en) | Portable heart monitoring devices |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| WD01 | Invention patent application deemed withdrawn after publication |
Application publication date: 20180119 |
|
| WD01 | Invention patent application deemed withdrawn after publication |